The emergence of spatial multi-omics has helped address the limitations of single-cell sequencing, which often leads to the loss of spatial context among cell populations. Integrated analysis of the genome, transcriptome, proteome, metabolome, and epigenome has enhanced our understanding of cell biology and the molecular basis of human diseases. Moreover, this approach offers profound insights into the interactions between intracellular and intercellular molecular mechanisms involved in the development, physiology, and pathogenesis of human diseases. In this comprehensive review, we examine current advancements in multi-omics technologies, focusing on their evolution and refinement over the past decade, including improvements in throughput and resolution, modality integration, and accuracy. We also discuss the pivotal contributions of spatial multi-omics in revealing spatial heterogeneity, constructing detailed spatial atlases, deciphering spatial crosstalk in tumor immunology, and advancing translational research and cancer therapy through precise spatial mapping.

中文翻译：

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空间多组学：解读多组学集成技术格局及其应用


空间多组学的出现有助于解决单细胞测序的局限性，单细胞测序通常会导致细胞群之间空间背景的丢失。基因组、转录组、蛋白质组、代谢组和表观基因组的综合分析增强了我们对细胞生物学和人类疾病分子基础的理解。此外，这种方法为人类疾病的发展、生理学和发病机制所涉及的细胞内和细胞间分子机制之间的相互作用提供了深刻的见解。在这篇全面的综述中，我们研究了多组学技术的当前进展，重点关注它们在过去十年中的演变和完善，包括吞吐量和分辨率、模态集成和准确性方面的改进。我们还讨论了空间多组学在揭示空间异质性、构建详细的空间图谱、破译肿瘤免疫学中的空间串扰以及通过精确的空间绘图推进转化研究和癌症治疗方面的关键贡献。